Title :
Content-adaptive upsampling for scalable video coding
Author :
Jie Zhao ; Misra, K. ; Segall, A.
Author_Institution :
Sharp Labs. of America, Camas, WA, USA
Abstract :
In the developing scalable extension of the HEVC/H.265 standard, a low-resolution baselayer picture may be used for predicting a higher resolution enhancement layer. This requires an upsampling process to generate the prediction, and this upsampling process is traditionally a linear and time invariant interpolator. In this paper, we consider an upsampling design that is both non-linear and content adaptive. This choice is motivated by the compression noise in the baselayer. We propose a novel approach to include content-aware filtering into the upsampling process. It has low complexity. More importantly, it has low latency and uses the same number of line buffers as a linear interpolator. Results show the efficacy of the method. Specifically, using the test model for the scalable extension of HEVC/H.265, we observe an average bit-rate reduction of 1.1%, when the change in resolution between layers is a factor of two in each dimension.
Keywords :
adaptive codes; code standards; content-based retrieval; error statistics; image enhancement; image resolution; image retrieval; image sampling; interpolation; video coding; H.265 standard; HEVC standard; baselayer picture; bit rate reduction; compression noise; content adaptive upsampling; content aware filtering; line buffer; linear interpolator; resolution enhancement layer prediction; scalable video coding; time invariant interpolator; Bandwidth; Complexity theory; Decoding; Encoding; Filtering; High definition video; Software;
Conference_Titel :
Picture Coding Symposium (PCS), 2013
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4799-0292-7
DOI :
10.1109/PCS.2013.6737762